Is SENet (and new architectures) welcome to `models`?
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enhancement
help wanted
- Dominant language
- Python
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Description
Hi, now torchvision.models contains some models such as ResNet and they are very helpful as baselines.
Recently I implemented SENet, which is the winner of ILSVR 2017's classification task. Can I send a PR of SENet to models?
Plus I'd like to know which models are welcome to models.
Thank you.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the current torchvision.models entry points and contribution guidance to determine whether SENet or other new architectures are still wanted. The issue is complete only when maintainers define the accepted model scope and confirm whether a SENet contribution should proceed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100